Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Case-Based Reasoning

  • Susan Craw
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_97



Case-based reasoning solves problems by retrieving similar, previously solved problems and reusing their solutions. Experiences are memorized as cases in a case base. Each experience is learned as a problem or situation together with its corresponding solution or action. The experience need not record how the solution was reached, simply that the solution was used for the problem. The case base acts as a memory, and remembering is achieved using similarity-based retrieval and reuse of the retrieved solutions. Newly solved problems may be retained in the case base and so the memory is able to grow as problem-solving occurs.

Motivation and Background

Case-based reasoning (CBR) is inspired by memory-based human problem-solving in which instances of earlier problem-solving are remembered and applied to solve new problems. For example, in Case Law, the decisions in trials are based on...

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Recommended Reading

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Susan Craw

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